The AI Journey in Ireland: A Pivotal Juncture

As the AI EU Act inches towards ratification and with the recent agreement among the Top 7 AI companies in America,  we stand at a significant turning point in Ireland’s AI journey. There’s an imperative need to build upon the momentum from defining a strategy, to effect a transformation in AI adoption.

Ireland’s AI Strategic Roadmap

With the Department of Trade, Enterprise and Employment targeting 75% of AI, cloud and big data integration in all businesses by 2030, we delve deeper into Ireland’s strategic roadmap for AI. This ambitious drive demonstrates Ireland’s dedication to enhancing the role of Artificial Intelligence in the tech landscape, reinforcing its status as a prospective global trailblazer in AI implementation.
In July 2021, the Irish Government rolled out a comprehensive AI Strategy titled “AI – Here for Good, proposing a range of initiatives aimed at promoting AI practices for both economic and societal advancement. This forward-thinking move signifies Ireland’s commitment to harnessing AI’s transformative power and associated technologies. AI Ireland wholeheartedly supports the Government’s strategic plan, emphasising the immediate need for increased adoption and investment in AI-centric solutions.

AI Preparedness in Ireland: A Global Perspective

Ireland’s innovative mindset, adaptable skill set and tech-savvy workforce favour our emergence as an AI frontrunner. Globally, Ireland holds a distinguished rank in terms of AI readiness, being 18th among 160 countries as per the Oxford Insight AI Readiness Report 2022.

Role of AI and its Impact on Business Outcomes

AI and advanced analytics have become an integral part of our day-to-day lives, with tools like Siri, Google Assistant, autonomous cars and entertainment platforms such as Netflix and Spotify harnessing AI for personalised customer content. The ability to process and interpret enormous, complex information generated every second, by people and systems, is achievable only through AI’s innovative capabilities.

Ireland’s Vision for an AI-powered Future

The Government’s strategic blueprint outlines a vision for Ireland to emerge as a global leader in using AI for economic and societal advancement, based on a people-centric, ethical approach to its development, integration and usage. It recognises eight pillars to facilitate AI adoption in an ethical and transparent way, equip the public and workforce, fund innovation and research, and encourage AI integration across sectors and industries.

The Role of Irish Organisations in AI Implementation

For Ireland’s AI strategy to truly thrive, organisations need to embrace, utilise, leverage and benefit from it. This starts with organisations recognising the current and future value of AI and making concerted efforts to overcome any internal and external barriers to its adoption.

Building AI Awareness

Irish organisations may miss significant AI opportunities while their competitors invest heavily. A recent survey by Equinix revealed that almost 52% of participants reported that key decision-makers had a limited understanding of AI. Additionally, another 50% understood AI well but were unsure about its potential benefits to their organisation. 

Filling the AI Talent Gap

AI solutions are multifaceted, requiring a wide range of competencies such as statistics, programming, data science, tech infrastructure and software development.

Governance and Ethics in AI

Concerns about the ethical and legal aspects of AI solutions are common among regulators across all industries. The majority of organisations do not have an internal framework to evaluate the ethical implications of AI solutions before implementation.

Driving the AI Revolution: The Role of Businesses

The responsibility now falls on businesses to lead AI adoption.  The focus should not just be on adopting AI for societal and national good, but on implementing AI solutions that streamline services, foster innovation in products and offerings, and enhance customer experiences.

The Importance of Data Sharing in AI

Apart from developing their own AI solutions, organisations can contribute on a national scale, for instance, by sharing their own data.  Data is the lifeblood of AI solutions. The larger the dataset, the higher the accuracy of the output. Open data and data sharing remain significant subjects in this domain.

Conclusion: Realising the AI Vision for Ireland

Ireland’s strategic plan for AI presents a dynamic and promising landscape for the country’s technological future. The drive towards increased AI adoption, facilitated by the Irish Government’s ambitious blueprint, underscores the transformative potential of AI for both economic and societal enhancement. For this potential to be fully realised, businesses, industries, and public bodies must embrace and drive AI adoption.

Combining the power of AI with ethical frameworks, increased data sharing and a commitment to nurturing AI talent, Ireland is positioned to not only be a participant in the AI revolution but also to lead it on a global stage. As we venture further into this AI-powered era, the collaboration of all sectors will be instrumental in ensuring that AI is truly ‘here for good’ in Ireland.

Apply now to the 2023 AI Awards!

Applications for the 2023 AI Awards are still open until August 25th so if you or someone you know is working on exciting projects, products, services and leaders in AI, Data Science and Machine Learning that are making a real impact in the industry, we want to hear from you!It’s free to enter and there are 12 categories you can apply for across industry, academia and leadership. 

Head over to to submit an application or please feel free to contact with any queries about the submission process.


Navigating the Future with AI Trust, Risk and Security Management (AI TRiSM)

As we stride towards an AI-driven future, AI Trust, Risk and Security Management (AI TRiSM) emerges as a key technology trend poised to revolutionize businesses.

This innovative AI TRiSM framework allows organisations to identify, monitor and mitigate potential risks associated with the application of AI technology, including the rapidly evolving Generative and Adaptive AI. Adherence to this framework ensures compliance with pertinent regulations and data privacy laws.

In this article, we will unpack the concept of AI TRiSM, its operational dynamics and its strategic leverage for organisations.

Building Robust AI Systems: The Importance of AI Trust, Risk, and Security Management (AI TRiSM)

Companies implementing robust Artificial Intelligence Trust, Risk and Security Management (AI TRiSM) frameworks successfully deploy more valuable AI models. So, what does it take to make AI systems both secure and effective?

AI TRiSM and Cybersecurity: A Crucial Intersection 

AI models are susceptible to cyber threats, implying that cybercriminals can manipulate these models to optimise malicious processes, such as:

  • Malware Attacks
  • Data Breaches
  • Phishing Scams

In the first half of 2022, about 236 million ransomware attacks were reported globally, signifying a sharp rise from previous years. This surge can be attributed to the widespread adoption of novel technologies and adequate security measures.

The Imperative for an AI Bill of Rights 

The recently proposed U.S. blueprint for an AI Bill of Rights underscores the need for strict protective measures against potential AI perils, urging AI developers and users to integrate safety precautions within their AI models and strategies. This highlights the crucial need for rigorous AI TRiSM implementation.

Demystifying AI TRiSM

AI TRiSM is a comprehensive framework advocating for AI model governance, fairness, reliability, robustness, efficacy and privacy. It encompasses solutions, techniques and processes to enhance model interpretability, explainability, privacy, model operations and resistance against adversarial attacks, which is vital for both the enterprise and its customers.

IT leaders who invest time and resources into AI TRiSM can expect improved AI outcomes in terms of adoption, business goals and user acceptance. Given the relentless evolution of AI threats and compromises, AI TRiSM must be an ongoing effort.

The Rising Tide of AI TRiSM

By embracing AI transparency, trust and security, organisations are likely to witness an improvement in their AI model performance concerning adoption, business goals and user acceptance. By 2028, it’s predicted that AI-driven machines will comprise 20% of the global workforce, contributing to 40% of all economic productivity.

However, it’s important to note that several organisations have deployed countless AI models that even IT leaders find difficult to explain or interpret. Organisations failing to manage AI risk are more susceptible to negative AI outcomes, including security and privacy breaches, financial and reputational losses, and harm to individuals. Poorly managed AI could also lead to detrimental business decisions.

Strategising and Operationalising AI TRiSM

With increasing AI regulations on the horizon, it’s crucial to adopt practices promoting trust, transparency and consumer protection before such protections become mandatory. IT leaders need to adopt innovative AI TRiSM capabilities to ensure model reliability, trustworthiness, privacy and security.

Applying AI TRiSM shouldn’t wait until models are in production, as it may expose the process to potential risks. It’s advisable for IT leaders to familiarise themselves with potential compromises and utilise the AI TRiSM solution set to adequately safeguard AI.

Successful implementation of AI TRiSM requires a cross-functional team, involving legal, compliance, security, IT and data analytics staff. Establishing a dedicated team or task force is recommended to derive optimal results, with appropriate business representation for each AI project.

Benefits of AI TRiSM extend beyond mere regulatory compliance, enabling organisations to enhance the business outcomes derived from their use of AI.


AI TRiSM capabilities ensure model reliability, trustworthiness, security and privacy. Organisations need to manage AI trust, risk and security for better AI adoption, achieving business goals, and user acceptance. Consider AI TRiSM as a comprehensive solution set to adequately protect AI. 

In the digital era, ensuring the safety and effectiveness of AI is a necessity, not a luxury. AI TRiSM plays a pivotal role in meeting these demands, heralding a secure and promising AI future.

Apply now to the 2023 AI Awards!

Applications for the 2023 AI Awards are still open until August 25th so if you or someone you know is working on exciting projects, products, services and leaders in AI, Data Science and Machine Learning that are making a real impact in the industry, we want to hear from you!It’s free to enter and there are 12 categories you can apply for across industry, academia and leadership. 

Head over to to submit an application or please feel free to contact with any queries about the submission process.

Finance 2

E106 John Burke, Manager – Research and Development Tax Consultant (CTA) at Mazars Ireland

Welcome to episode E106 of the AI Ireland podcast, the show that explores the applications and research of Data Science, Machine Learning and Artificial Intelligence on the island of Ireland.


Unleashing the Power of AI: Why You Should Attend the AI Awards 2023 in Ireland

Artificial Intelligence is revolutionizing the world as we know it and Ireland is no exception. The AI Awards 2023, hosted by AI Ireland, is an event that celebrates this transformation, bringing together the brightest minds and leading organizations in the Irish AI community.

Here’s why you should mark your calendar for this event:

1. Connect with the AI Community 

The AI Awards is not just an event; it’s a platform that fosters connections within the vibrant and forward-thinking Irish AI community. Whether you’re a data scientist, an AI enthusiast or a sponsor, the event offers an outstanding opportunity to connect, establish relationships and actively engage with the wider tech community. This could be your gateway to new prospects in the rapidly evolving AI field.

2. Stay Ahead with the Latest AI Trends 

The AI Awards showcase the best applications of Data Science, Machine Learning and Artificial Intelligence in Ireland. Attending the event gives you a front-row seat to the latest trends and advancements in the industry. It’s a chance to share your observations and participate in discussions about the future of AI, helping you stay ahead of the curve.

3. Expand Your Network 

The ceremony attracts a diverse audience, including members of the AI community, data scientists, researchers, technology CEOs and, of course, the awards finalists themselves. It serves as a valuable networking occasion and a platform for professionals in the field to exchange knowledge and ideas. Who knows, you might meet your next business partner, mentor or collaborator at the event!

4. Build a Shared Vision as a Team 

Attending the AI Awards as a team offers the perfect opportunity to forge stronger relationships and create a shared understanding that propels your strategies forward. It’s a chance to align your team’s vision and goals, ensuring everyone is on the same page when it comes to your AI initiatives.

5. Learn from the Experts 

The AI Awards give you a chance to interact face-to-face with the experts behind groundbreaking AI research and innovations. These are the people shaping the future of AI, and they’re ready to share their knowledge and insights with you. It’s a unique opportunity to learn from the best in the field.

6. Problem-Solve with Leading Solution Providers 

Meet with exhibitors at the cutting edge of AI to exchange ideas and pressure-test strategies that can help your business meet its needs today and in the future. The AI Awards provide a unique platform to connect with the best in the industry and gain insights into the latest AI solutions and technologies.


In conclusion, the AI Awards 2023 is more than just a celebration of excellence in AI. It’s an opportunity to learn, network and gain insights that can propel your business or career in the rapidly evolving world of AI. Don’t miss out on this chance to be part of the AI revolution. Secure your participation without delay!

The 2023 AI Awards is proudly sponsored by Alldus International, Mazars Ireland, Dublin City Council and Mason Hayes & Curran with more sponsors to be announced in the coming weeks.


Early Bird Tickets Now on Sale for the 2023 AI Awards.

The fifth annual AI Awards takes place on Tuesday November 21st at the Gibson Hotel. This is an exciting opportunity to connect and network with over 200 AI and Data professionals across the island of Ireland and hear from some of the most exciting AI applications across industry and academia spanning 12 award categories.

Don’t miss the opportunity to get your discounted Early Bird tickets now! Head over to or Eventbrite and enter the discount code EarlyBird_AIA to get your ticket for just €100. Limited tickets available; Original Price €239. 



1. What is ChatGPT? 

Chat Generative Pretrained Transformer, commonly known as ChatGPT, is an advanced chatbot and generative language tool inaugurated by OpenAI in November 2022. 

Given an initial phrase or “prompt,” the ChatGPT models calculate the most likely sequence of letters or words. Built upon OpenAI’s GPT-3 family of vast language models, ChatGPT allows interaction with a model via a conversational user interface. The system was trained using 300 billion words sourced from books, internet texts, Wikipedia articles, code libraries and then refined with human feedback. 

In January 2023, Microsoft introduced Azure OpenAI Services, encompassing ChatGPT, additional language models, and supplementary enterprise services. It’s crucial for enterprise planners to differentiate between OpenAI’s ChatGPT and Azure OpenAI Service which, while still evolving, offers promising enterprise operational features.

2. How will ChatGPT be utilised in the Enterprise?

ChatGPT and similar foundation models will serve as tools in conjunction with numerous other AI and hyperautomation innovations. They will be part of architected solutions that automate and augment humans or machines, and autonomously carry out business and IT processes. 

As generative AI finds its place alongside existing work approaches, ChatGPT and other competitors will be deployed to replace, recalibrate and redefine various activities and tasks that are part of many job roles.

3.  What are the primary applications of ChatGPT?

ChatGPT can generate and enhance prose and code development, summarize long-form texts, classify content, answer questions, and translate and convert languages (including programming languages).

4. ROI of ChatGPT: What is its value?

The ROI of ChatGPT hinges on the use case. For augmented scenarios, these tools can save time for writers and programmers, but such time savings may not necessarily benefit employers. Users should maintain realistic expectations about the use cases and the value they aim to derive, especially given that the service as-is has significant limitations, such as reliability issues. 

The generated text or code might be inaccurate or biased, necessitating human validation, which could offset the initial time savings. It is essential to link ChatGPT use cases to KPIs and ensure the project enhances operational efficiency, generates new revenue or improves experiences.

5. How much is ChatGPT?

The 3.5 version of ChatGPT, is free of charge. OpenAI recently announced the launch of the ChatGpt 4.0 subscription plan for at $20 a month. ChatGPT will also be part of the Microsoft Azure OpenAI Service soon, but the pricing is currently being introduced. It’s plausible that substantial elements will be bundled with different Microsoft 365 software subscriptions.

6. Direct Customer Interaction with ChatGPT: Should it be done?

Generally, no – providing ChatGPT-powered experiences directly to customers is considered too high risk for most use cases at the present time, except in rare cases perhaps related to gaming or entertainment, where the correctness or impartiality of the content may not be under rigorous scrutiny.

7. Will ChatGPT replace jobs?

Initially, ChatGPT will primarily enhance specific activities or tasks rather than replace whole jobs. Future iterations of ChatGPT, along with other tools and their combinations, will likely progress beyond augmentation and start executing targeted activities or tasks independently. This process will necessitate testing, quality control, guardrails and governance.

8. Impact of ChatGPT on the Enterprise Workforce: What can we expect?

As stated in response to question 2, ChatGPT will be one among various tools, including other hyperautomation and AI innovations, incorporated in architected solutions that automate, augment humans or machines, or autonomously conduct business or IT processes. It will replace, recalibrate and redefine the activities and tasks that constitute many job roles.

9. What will be the Magnitude of Workforce Impact?

There will be creation of new jobs and the redefinition of others. The net change in the workforce will considerably fluctuate based on factors such as industry, location and the size and offerings (products or services) of the enterprise. 

However, it’s evident that tools like ChatGPT (or competitors), hyper-automation and AI innovations will target repetitive, high-volume tasks with an emphasis on efficiency, such as reducing cycle time, boosting productivity and enhancing quality control (reducing error rates), among others.

10. Future Prediction for the Enterprise: What’s the forecast?

By 2026, over 100 million humans will collaborate with robot colleagues (synthetic virtual colleagues) for enterprise work. This will not solely be powered by ChatGPT (or competitors); it will involve several other technologies and solutions.

11. Is ChatGPT Artificial General Intelligence?

No. Despite the impressive capabilities of ChatGPT and related large language models (LLMs) or foundation models, they cannot comprehend, learn or undertake any intellectual task that humans can. ChatGPT is a type of reinforcement learning approach. While enhanced with human feedback, it fundamentally remains a machine learning construct and lacks the generalization attributes provided by symbolic techniques.

12. Is ChatGPT a New AI Paradigm? 

ChatGPT is more of an evolution of ongoing trends than a new paradigm. Its underlying model is based on transformer neural networks, which have been foundational for over five years, including in vendor applications.

Nevertheless, ChatGPT introduces some new elements to those foundation models, such as conversational and short-term memory layers and massive human-in-the-loop feedback (reinforcement learning) for training. The engineering employed to make the model available for mass consumption is also novel, requiring extensive computational resources and model-serving architecture.

13. What are the multilingual Capabilities of ChatGPT?

ChatGPT was trained on a multilingual corpus, enabling it to respond to inputs and generate outputs in several languages. Gartner has informally observed that ChatGPT performs comparably to the leading commercial machine translation model for English to Spanish, but is not as proficient for other official UN languages (Arabic, Chinese, French, and Russian). ChatGPT’s translation is slower than commercial engines. The use of GPT-3 for translation should be evaluated on a case-by-case basis.

14. What are the different Uses of ChatGPT?

ChatGPT can be utilized in four different ways:

As-is: By entering prompts and receiving results via the web-based interface. This is the most popular usage approach currently.

Prompt Engineering without APIs: This involves using a service like ChatGPT alongside other technologies as part of a workflow, which can be carried out manually or by using screen scrape and robotic process automation (RPA) technologies.

Prompt Engineering using APIs: Although there are solutions on Github enabling an API wrapper around ChatGPT, these are not recommended for production builds or scale, and they are not supported by OpenAI.

Custom Build: Creating a custom build of the core GPT2/GPT3 model for a bespoke implementation is possible, but it wouldn’t have the conversational interaction.

15. What are the current Limitations of ChatGPT?

ChatGPT’s training only covers data up until 2021, which limits its recency. It cannot provide the sources of the information used to generate its answers and lacks explainability. The reliability of the model is dependent on its (unknown) underlying sources, which can sometimes be erroneous or inconsistent. 

While it can generate language and code, it cannot create images. Currently, there is no supported API available. You cannot train ChatGPT on your own knowledge bases. Despite seeming to perform complex tasks, ChatGPT only makes predictions without understanding the underlying concepts. It does not provide data privacy assurances. Although recent updates have improved its ability to handle mathematical queries, it still cannot be relied on for computation.

16. Can I use my own Data with ChatGPT?

At present, you can use your own data only for providing prompts to ChatGPT, but not for training or fine-tuning it. If you’re using ChatGPT as-is, you can include your own data and content with your questions, like pasting in software code for ChatGPT to debug, or inputting text for it to summarize. 

However, presently you can’t add your own industry or domain knowledge data to train or fine-tune ChatGPT, although this functionality is expected to be available in the Azure service in 2023. As an alternative, you can use the GPT2/3 engines without the ChatGPT conversational interface or additions and use transfer learning to train your own version of the model, but it would not result in the same type of model as ChatGPT.

17. Can I personalise content with ChatGPT?

While you cannot personalise the user experience of ChatGPT, users can influence the generative output via their prompts, such as by requesting that the generated content adhere to a certain writing style or educational level. The Azure OpenAI ChatGPT service is likely to add APIs in the future, which will likely make it possible to intercept the input and output and handle the user experience with a different interface.

18. Can I build or Integrate ChatGPT into Other Systems?

Yes, it is possible to use ChatGPT in the building of or integration into other systems. Currently, it is more suitable to construct augmented approaches that support various roles.

19. What are the new features of ChatGPT?

ChatGPT is not a static service. For instance, it was recently improved to handle mathematical prompts more effectively. Microsoft might use the Azure OpenAI ChatGPT service to complement Bing search in 2023. Furthermore, it is expected that more formal API offerings will be added to the service. Recently, updates have been rolled out to Microsoft Teams Premium, utilizing the Azure OpenAI ChatGPT core model of GPT3.5.

20. Is ChatGPT Replacing or Threatening Search?

No, ChatGPT is not a threat to search but rather, it complements it. While ChatGPT generates answers, search is more focused on artifact discovery like finding a particular document or sentence. Many search and insight engine vendors have been using base GPT technology as part of their AI techniques for some time. It is predicted that over time, discovery methods like search will evolve to use foundation models in conjunction with existing approaches.

21. Who are the competitors of ChatGPT?

Yes, ChatGPT does have competitors. Several smaller vendors have utilized large language models, similar to ChatGPT, to deliver specific task usage. However, many of the larger technology vendors have not yet commercialized their offerings. Google announced its own offering, Bard, on February 6, 2023, while it is expected that competitors such as Baidu and IBM will enter the market later in 2023.

22. What are the markets around ChatGPT?

The biggest evolution will be in creating bespoke variants of models like GPT, where system integrators and vendors support end users to input their own knowledge bases via transfer learning. More corpora management and prompt engineering services and tools are expected to emerge in 2023, as well as tools for fact-checking and generated text detection. 

Vendors are likely to differentiate their products through task-specific fine-tuning of their models and by introducing tools to mitigate risks related to the explainability, reliability, fairness, security, and transparency of generated content.

23. What is the effect of ChatGPT on Current Natural Language Technologies? Does it make them obsolete?

No, ChatGPT does not render current natural language technologies obsolete. It intersects two markets in the NLT space: conversational AI and natural language generation. If your chatbot conducts transactional conversations and relies on your own knowledge body, then ChatGPT won’t replace it. At present, ChatGPT serves as a broadly useful, general-purpose conversational tool, not a single-API solution for NLT. 

Within a workflow, ChatGPT and GPT technologies have a role. It might be possible to use the technology within NLT systems, like generating synonyms, utterances, and responses. It’s advisable to check with your current vendors to understand how they are utilizing generative technologies like ChatGPT.

24. Security of ChatGPT for Staff Usage ChatGPT. Should be used with the same caution as public online platforms?

Employees should avoid sharing sensitive personal, company or client information. While there aren’t currently clear assurances of privacy or confidentiality, Microsoft plans to introduce privacy assurances for its Azure OpenAI ChatGPT service, just like its other software services.

25. Does ChatGPT has a toxic content filter for both inputs and outputs?

Due to the nuanced and contextually dependent nature of this task, users should not completely rely on the model’s output for compliance or risk management, and should ensure human oversight of inputs and outputs.

26. Is there a Risk of Misuse of ChatGPT by Bad Actors?

There’s a valid concern that bad actors may misuse ChatGPT to generate false information, create convincing phishing emails, or even generate malicious code. The simplicity and widespread availability of ChatGPT heighten this risk. Users may be required to sign ethical usage agreements, but these could be hard to enforce.

27. Who Can View Conversations with ChatGPT?

ChatGPT service providers, currently OpenAI and Microsoft, can review conversations to improve their systems and ensure compliance with their policies. There are no assurances regarding other parties who might access the posted information. The Azure version of the service is expected to follow existing Azure OpenAI services in this respect.

28. Can conversations with ChatGPT be used for Training?

Yes, conversations may be used for training and could be reviewed by trainers. It is not currently possible to delete specific prompts, so users need to be careful about what they share. While it is possible to delete an account, this action won’t erase the training data.

29. Is there biases in ChatGPT?

ChatGPT’s fine-tuning is aligned to the trainers’ preferences rather than verified facts, leading to plausible but potentially unreliable outputs. Bias may be present in the large datasets used to train the GPT-3 model. Despite OpenAI’s efforts to minimize bias, there have been known instances of it surfacing.

30. Is there regulatory Risks Regarding Training Data Content Ownership?

There are concerns about the ownership of data and intellectual property rights with respect to content used to train GPT-3 and ChatGPT. As of now, there is no clarity on this matter, which poses a risk to OpenAI and the further usage of ChatGPT which needs to be resolved.

31. Can you detect ChatGPT-Generated Content?

There’s currently no reliable method to detect whether content was generated by ChatGPT or a human. Some tools have attempted to do this, but results so far have been mixed.

32. Should I implement a Company Policy on ChatGPT?

It is advisable to establish a policy as knowledge workers might already be using ChatGPT for various tasks. An outright block might result in covert “shadow” ChatGPT usage, giving organizations a false sense of compliance.

Employees should treat information posted through ChatGPT as if it were public. Organizations should monitor usage, encourage innovation, but ensure ChatGPT is used responsibly and never unfiltered with customers and partners.



The provided list of resources highlights the various sources from which information about ChatGPT and related AI technologies has been drawn for the purpose of the FAQ. These resources, provided by the creators and hosts of the technology, offer insights into the development, deployment and implications of using AI models like ChatGPT. Here’s a brief summary of what these resources entail:

ChatGPT and GPT Board Reference Presentation: A deep dive into the workings, application, and impact of GPT and ChatGPT models.

Innovation Insight for ML-Powered Coding Assistants: A resource providing information on how machine learning is being used to facilitate coding, discussing AI models like GPT-3’s code-generation capabilities.

ChatGPT: Optimizing Language Models for Dialogue, OpenAI: A detailed explanation of the development and optimization process of the ChatGPT model, published by OpenAI.

Azure OpenAI Service, Microsoft: Information on Microsoft’s Azure OpenAI service, including its features, capabilities, and use cases.

Introducing ChatGPT Plus, OpenAI: An announcement by OpenAI introducing the enhanced features and capabilities of the ChatGPT Plus model.

General Availability of Azure OpenAI Service Expands Access to Large, Advanced AI Models With Added Enterprise Benefits, Microsoft: A release by Microsoft announcing the broader availability of their Azure OpenAI service, with an emphasis on its benefits for enterprises.

Microsoft Teams Premium: Cut Costs and Add AI-Powered Productivity, Microsoft: A resource detailing the integration of AI technologies into Microsoft Teams for enhanced productivity and efficiency.

Data, Privacy, and Security for Azure OpenAI Service, Microsoft: Information provided by Microsoft regarding data handling, privacy measures, and security features within their Azure OpenAI service

Apply now to the 2023 AI Awards!

Applications for the 2023 AI Awards are still open until August 25th so if you or someone you know is working on exciting projects, products, services and leaders in AI, Data Science and Machine Learning that are making a real impact in the industry, we want to hear from you!It’s free to enter and there are 12 categories you can apply for across industry, academia and leadership. 

Head over to to submit an application or please feel free to contact with any queries about the submission process.


Understanding the Capabilities and Limitations of AI in Creative Domains

AI has made monumental strides in recent years, now capable of generating ideas and content in novel ways. These tools can rehash and reshape existing ideas to generate new ones or create novel ideas reminiscent of familiar ones. 

However, AI’s capacity to produce something genuinely unique is limited due to its inability to comprehend and synthesize concepts like humans. Nevertheless, AI can play a crucial role in spurring human creativity by generating fresh ideas and tweaking existing ones.


The Intersection of AI and Creativity: A Contemporary Dialogue

The astonishing developments in Generative AI tools such as ChatGPT, Midjourney, Dall-E and others, have sparked debates about whether creativity is a uniquely human trait. 

Noteworthy milestones of Generative AI include:
  • The AI-created artwork “The Portrait of Edmond de Belamy,” sold for an unexpected $432,500 by Christie’s in 2018.
  • Successful collaborations between AI and music producers, such as Grammy-nominee Alex Da Kid and IBM’s Watson.
In these instances, humans remain in control by filtering the AI’s output according to their vision and retaining the piece’s authorship. However, AI image generator Dall-E can quickly produce unique content, blurring the lines of authorship. The algorithm, the numerous artists whose work was utilized or the prompter who detailed the style, reference, subject matter, and emotion could all arguably hold authorship.

Dissecting Creativity: The Three Forms


Margaret Boden identifies three types of creativity: Combinational, Exploratory and Transformational. 

Combinational creativity merges familiar ideas, while Exploratory creativity yields new ideas by delving into ‘structured conceptual spaces.’ The synthetic creativity exhibited by AI is comparable to these forms. However, Transformational creativity, which involves generating completely original ideas, remains a challenging feat for AI and a major topic in the discourse of AI’s potential role in copyright infringement.


The Systematic Nature of AI Creativity

AI’s creative processes are predictable and systematic, unlike the often spontaneous creativity displayed by humans. The key difference lies in the motivations. While artists are driven by self-expression and product creation, AI is driven by consumer demand. Therefore, AI art only reflects what we request, not necessarily what we need. So far, Generative AI appears to thrive best when combined with human creativity, augmenting rather than replacing it.

Implications of Synthetic Creativity for Businesses

Synthetic creativity, as currently exhibited by AI, is a significant asset to business and marketing. Potential uses include AI-enhanced advertising, AI-designed furniture and AI-assisted fashion styling. While these applications are vast, they also necessitate another form of creativity: Curation. AI may ‘hallucinate,’ or generate nonsensical output, requiring the human skill of sense-making to create a unified and compelling vision.

Apply now to the 2023 AI Awards!

Applications for the 2023 AI Awards are still open until August 25th so if you or someone you know is working on exciting projects, products, services and leaders in AI, Data Science and Machine Learning that are making a real impact in the industry, we want to hear from you!It’s free to enter and there are 12 categories you can apply for across industry, academia and leadership. 

Head over to to submit an application or please feel free to contact with any queries about the submission process.